A
licenseNot graded
qualityC
maintenanceEnables AI assistants to manage Massed Compute GPU instances, including browsing inventory, launching and managing VMs, and auditing billing.
1
MIT
Lambda Labs MCP by usefulapi
by io.usefulapi
Server Details
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
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- Status
- Unhealthy
- Uptime
- 0.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- m190/usefulapi-mcp
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
A4/5.0
Scored across 15 tools
Disambiguation4/5
Most tools target a distinct resource+action (launch/list/get/update/restart/terminate instances, create/delete/list filesystems), so selection is usually clear. The main friction point is the filesystem firehose of firewall tools (list_firewall_rules vs list_firewall_rulesets vs get_firewall_ruleset), which are adjacent concepts, though the descriptions do distinguish them.
Naming Consistency5/5
All 15 tools use a uniform lambda_ prefix with snake_case verb_noun structure (create/delete/get/list/launch/restart/terminate/update). The only minor irregularity is singular vs plural nouns (launch_instance vs restart_instances) but the pattern is fully predictable.
Tool Count5/5
15 tools is well within the ideal range and each maps to a meaningful API operation across the domains (instances, filesystems, firewall, images, instance types, audit). Nothing feels redundant or padded for the scope of a GPU cloud management server.
Completeness4/5
Core instance lifecycle (launch, get, list, update, restart, terminate) and filesystem create/list/delete are well covered. Gaps exist around SSH key management (launch requires an existing key but there is no list/create key tool) and firewall rulesets are read-only, but the descriptions point users to the dashboard as a workaround.
Tool Schema Changelog
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Servers, volumes, networks, firewalls, load balancers, pricing and safe power operations.
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